In 2024, Angra do Heroismo in Portugal is heavily reliant on cars for transportation, with no significant use of public transport or other modes. The city's traffic patterns reflect a high level of car dependency, leading to notable CO2 emissions and some inefficiencies in travel times.
Traffic tends to increase during the summer months due to tourism, leading to longer travel times. Winter months see a slight decrease in traffic as tourism wanes.
Limited public transport options force reliance on cars, increasing travel costs. Parking availability can be a challenge during peak tourist seasons.
Early mornings and late evenings are the best times to travel to avoid potential congestion. Midday travel is generally smooth, except during peak tourist seasons.
Public events and festivals can significantly impact traffic, causing temporary road closures and diversions. Planning travel around these events can help avoid delays.
The city is exploring initiatives to promote cycling and walking to reduce car dependency. Efforts to improve public transport infrastructure are underway to provide more commuting options.
Ride-sharing services are slowly gaining popularity, offering an alternative to car ownership. These services help reduce the number of vehicles on the road, potentially lowering emissions.
The Traffic Index for Portugal combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Portugal, to provide insights into overall traffic conditions.
Angra do Heroismo's heavy reliance on cars contributes to high CO2 emissions.
Improving public transport options could reduce car dependency and emissions.
The CO2 emission index is notably high at 1330, indicating significant environmental impact.
Efforts to reduce emissions could greatly benefit the city's air quality.
TimeThe time index is relatively low at 7, suggesting minimal traffic delays.
Despite low delays, the reliance on cars may lead to future congestion issues.
InefficiencyThe inefficiency index stands at 8.91, reflecting some room for improvement in traffic management.
Optimizing traffic flow could enhance overall efficiency.